Immigrant population
9.6%Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
New Brunswick postal region
E1A demographics and market profile
See what distinguishes this audience, how it compares with other markets, and which local characteristics can shape campaign decisions in Dieppe Moncton East.
AudienceScoutE1A · Dieppe Moncton EastLoading the E1A boundary…
Selected postal region
Market profile
A market of 48,336 people
Size the opportunity, understand its household composition, and identify the local patterns that make E1A different from the typical Canadian postal region.
Population48,336
Households20,535
Median income$78,000
Average age41.4
E1A market summary
What distinguishes this postal-region audience
E1A represents 48,336 residents and 20,535 households in Dieppe Moncton East. Its average household contains 2.3 people, creating a local market that can be evaluated by both total reach and household composition.
The clearest difference from the Canadian postal-region benchmark is immigrant population: 9.6%, or 13.3 percentage points below the benchmark. Single-detached homes is 45.8%, 6.8 percentage points below the benchmark.
For campaign planning, these patterns give E1A a clear audience profile. They provide concrete criteria for deciding whether the region fits an offer, which audience characteristics should shape creative, and how it should be compared with other parts of Dieppe Moncton East.
Audience matching
Find more regions that resemble E1A
To find regions with a profile similar to E1A, begin with home ownership near 61.3% and household income near $78,000. Adjust each minimum to make the audience broader or more selective.
Match This AudienceDistinctive market signals
The characteristics with the largest local differences
These four characteristics show the largest available differences between E1A and the Canadian postal-region benchmark.
Single-detached homes
45.8%Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
Owner households
61.3%Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
Median household income
$78,000Lead with practical value, accessible pricing, savings, or efficiency when testing offers in this region.
Detailed comparison
How E1A compares with the Canadian benchmark
Use the difference column to identify which measures are most useful for creative, offer, channel, and geographic targeting decisions.
| Measure | E1A | Canada FSA benchmark | Difference |
|---|---|---|---|
| Median household income | $78,000 | $85,788 | 9.1% below |
| Average household size | 2.3 people | 2.4 people | 5.3% below |
| Owner households | 61.3% | 66.5% | 5.2 percentage points below |
| One-person households | 28.8% | 29.4% | 0.6 percentage points below |
| Families with children | 31.6% | 34.0% | 2.4 percentage points below |
| Bachelor's degree or higher | 29.4% | 26.5% | 2.9 percentage points above |
| Immigrant population | 9.6% | 22.9% | 13.3 percentage points below |
| Worked from home | 23.0% | 23.8% | 0.8 percentage points below |
Local market context
Community activity around the audience
AudienceScout connects 118 local facility records with E1A. Recreation is the largest represented category with 75 records, adding another signal for local media, partnership, service-area, and campaign planning.
Education21
Health care2
Culture and art20
Recreation75
Platform audience potential
Match channel planning to the local age mix
Facebook has the largest modeled audience among the displayed channels at 31,640 people. Compare that opportunity with the other estimates before setting the regional channel mix and budget.
25,231YouTube estimate · 65.1%
31,640Facebook estimate · 81.7%
20,343Instagram estimate · 52.5%
10,468TikTok estimate · 27.0%
Practical campaign implications
Turn the strongest E1A signals into campaign tests
Use these as evidence-based starting hypotheses, then validate them against campaign performance and your own customer results.
- Immigrant population: 9.6%13.3 percentage points below the Canadian benchmark
Use the wider demographic and household profile to determine whether localized or broad-market creative is the stronger starting point.
- Single-detached homes: 45.8%6.8 percentage points below the Canadian benchmark
Emphasize space-efficient products, building services, mobility, and urban convenience where relevant.
- Owner households: 61.3%5.2 percentage points below the Canadian benchmark
Test renter-relevant services, flexibility, mobility, convenience, and lower-commitment propositions.
Related market context
Compare similar-sized New Brunswick postal regions
This directory represents Dieppe Moncton East with one postal region. These New Brunswick markets are selected by population similarity for a useful market comparison.
E1A audience questions
Using this postal-region profile
How large is the audience in E1A?
E1A represents 48,336 residents and 20,535 households in Dieppe Moncton East. The average household size is 2.3 people.
What demographic characteristics stand out in E1A?
Immigrant population is 9.6%, 13.3 percentage points below the Canadian postal-region benchmark; Single-detached homes is 45.8%, 6.8 percentage points below the Canadian postal-region benchmark; Owner households is 61.3%, 5.2 percentage points below the Canadian postal-region benchmark.
How does E1A compare with another postal region?
E3B is one useful New Brunswick market comparison because its population is similar to E1A. It has 4.5% lower median income · 1.4 years younger on average.
How can I find other regions that match the E1A audience?
To find regions with a profile similar to E1A, begin with home ownership near 61.3% and household income near $78,000. Adjust each minimum to make the audience broader or more selective.
How can customer postal codes be analyzed in E1A?
Import postal codes to measure customer concentration in E1A, compare the count with the region's population and households, and use its strongest demographic characteristics to decide whether similar regions belong in the campaign.